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Application of Machine Learning in Smart Agriculture

This book is based on Applications of Machine Learning (ML) in Smart Agriculture. Agriculture is an area where a lot of smart work is needed. Agriculture plays a very pivotal role in the global economy of any country. Due to the increase in the population, there is constant pressure on the agricultural system to improve the productivity of the crops. So, from the same land it is not possible to improve the productivity without using the smart solutions. Machine Learning applications are need for the same.

Artificial techniques are being used in the agricultural sector to increase the accuracy and to find solutions to the problems. The performance of the machine learning models improves as it gains experience over time. To determine the performance of machine learning models various mathematical and statistical models need be investigated. Once the learning process is completed, then the model can then be used to make an assumption, to classify and to test data. This is achieved after gaining the experience of the training process. In this book, we focus on Machine Learning (ML) and Data Analytic Process, i.e., we suggest authors to submit papers on applications of Machine Learning in Agriculture